Prediction of drug solubility in water-propylene glycol mixtures using Jouyban-Acree model.

dc.contributor.author	Jouyban, A
dc.date.accessioned	2018-08-26T06:33:42Z
dc.date.available	2018-08-26T06:33:42Z
dc.date.issued	2007
dc.identifier.uri	http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/43809
dc.description.abstract	A trained version of the Jouyban-Acree model was presented to predict drug solubility in water-propylene glycol mixtures at various temperatures. The model is able to predict the solubility in various solubility units and requires the experimental solubility of a solute in mono-solvent systems. The mean percentage deviation (MPD) of predicted solubilities was computed to show the accuracy of the predicted data and 24% was found as the average MPD for 27 data sets studied. The proposed model enables the researchers to predict solubiliy in water-propylene glycol mixtures at various temperatures and reduces the number of required experimental data from five to two points.
dc.language.iso	English
dc.relation.ispartof	Die Pharmazie
dc.subject	Algorithms
dc.subject	Chemical Phenomena
dc.subject	Chemistry, Pharmaceutical
dc.subject	Chemistry, Physical
dc.subject	Forecasting
dc.subject	Linear Models
dc.subject	Models, Chemical
dc.subject	Models, Neurological
dc.subject	Models, Statistical
dc.subject	Propylene Glycols
dc.subject	Solvents
dc.subject	Water
dc.title	Prediction of drug solubility in water-propylene glycol mixtures using Jouyban-Acree model.
dc.type	article
dc.citation.volume	62
dc.citation.issue	5
dc.citation.spage	365
dc.citation.epage	7
dc.citation.index	Pubmed

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